m[c@`sdZddlmZmZmZmZddlZddlZddlZddl Z ddl m Z ddl Z ddl Z ddl m Z ddl mZmZddlmZmZmZddlmZdd lmZmZdd l mZdd lmZdd lmZmZdd lmZddlm Z!ddlm"Z#ddl m$Z$m%Z%m&Z&ddl m'Z'ddl(m)Z*ddl+m,Z,m-Z-m.Z.ddl+m/Z0ddl1m2Z2m3Z3ddl4m5Z5ddl m6Z6ddl7m8Z8m9Z9ddl m:Z:ddl;m<Z<m=Z=ddl>Z?ddl@mAZAddlBmCZCddlDmEZEmFZFddlGmHZHmIZImJZJmKZKddlLmMZMmNZNmOZOmPZPd d!lQmRZRmSZSmTZTmUZUmVZVmWZWmXZXmYZYmZZZm[Z[m\Z\m]Z]m^Z^m_Z_m`Z`maZambZbmcZcmdZddd"lemfZfd#Zgegef\ahaiajakdamenaod$Zpd%ZqejrjsZsejte.juddevd&Zud'Zwd(Zxd)Zyd*Zzd+Z{d,Z|ejte j}d-Z}ejte j'ddd.Z'ejte j~d/Z~d0Zd1Zeje0d2Z/d d3d4d5Zdddddeveend6Zd7Zd8Zd9Zd:Zd;Zd<Zejtejd=Zejtejd>Zd?Zd@ZdAZejtejdBZejtejdCZejtejdDZejtejdEZejtejdFZejtejdGZdHZdIZedJdKeddLZedJdKedMZedJdKedNZddOZddPZdQZdRZdSZd d enenevdddTZd d ddUZddVZddWZdXZddYZdZdddd[Zdd\Zd]Zd^Zd_Zd`ZdaZdbZejdcZejddZdeZdfZdgZdhZdiZdjZdkZdlZedmdnZdoZdpZddddqZe jje_dddrZdsZejte!dtZ ejte#duZ"ddvZdwZdddxddydzdevevd{ Zd|Zee2jdddd}d~Zepee2jdddZee2jddddddddZee2jddZee2jddd ddZee2jdd ddZee2jddd ddZee2jdd ddZee2jdZee2jdZee2jdddZee2jddddddddddddddddddddddevenddddZee2jdd4de6je6jddddddd Zee2jdZee2jdZee2jdZee2jddddddddddddd Zee2jddddddenenenenend ddddZee2jdd d ddddddZee2jdZee2jddenddddZee2jdddendddZee2jdd3ddddddddddde?jdendddZee2jddddendddddenddenddddZee2jddenddddddZee2jddddddZee2jddddddddddd dddddddZee2jdZee2jdddddddddZee2jdZee2jdZee2jddddddddZee2jdddddendddevdddenendddZee2jdZee2jddevendddZee2jddddddddddddd Zee2jdZee2jdZee2jdddddddddddddd Zee2jdZee2jdZee2jddddddddddddddddddZee2jdZee2jdZee2jdZee2jd ddddd ddddddddddZee2jdZee2jdZee2jdZee2jdZee2jdevdenevend3dddd Zee2jddddddZee2jeve6jevddddZee2jdZejte2jdZejte2jddddZejte2jdZejte2jdZejte2jdendZejte2jdZejte2jdZejte2jdddZejte2jddZejte2jdZejte2jevdddZdZ dZ dZ dZ dZ dZdZdZdZdZdZdZdZdZdZdZdZdZdZdZedS(u `matplotlib.pyplot` is a state-based interface to matplotlib. It provides a MATLAB-like way of plotting. pyplot is mainly intended for interactive plots and simple cases of programmatic plot generation:: import numpy as np import matplotlib.pyplot as plt x = np.arange(0, 5, 0.1) y = np.sin(x) plt.plot(x, y) The object-oriented API is recommended for more complex plots. i(tabsolute_importtdivisiontprint_functiontunicode_literalsN(tcycler(tstyle(t_pylab_helperst interactive(tdedentt silent_listt is_numlike(t_string_to_bool(t deprecatedtwarn_deprecated(t docstring(tFigureCanvasBase(tFiguret figaspect(tGridSpec(timread(timsave(trcParamstrcParamsDefaultt get_backend(t rc_context(tinteractive_bk(tgetptgettArtist(tsetp(tAxestSubplot(t PolarAxes(tmlab(tget_scale_docstget_scale_names(tcm(tget_cmapt register_cmap(t Normalize(tLine2D(tTextt Annotation(tPolygont RectangletCircletArrow(t SubplotTooltButtontSlidertWidgeti(t TickHelpert FormattertFixedFormattert NullFormattert FuncFormattertFormatStrFormattertScalarFormattert LogFormattertLogFormatterExponenttLogFormatterMathtexttLocatort IndexLocatort FixedLocatort NullLocatort LinearLocatort LogLocatort AutoLocatortMultipleLocatort MaxNLocator(t pylab_setupcC`std}td s!|tkr%dStdjd}dtjkr|dkrddl}|jjrdd|td= 2 for this to work. For IPython < 2 will raise a ``NotImplementedError`` .. warning If you are using vanilla python and have installed another display hook this will reset ``sys.displayhook`` to what ever function was there when matplotlib installed it's displayhook, possibly discarding your changes. i(Rbu post_executeu*Can not unregister events in IPython < 2.0N( RkRiRbRlt unregisterRntNotImplementedErrorRjRqRp(RbRv((s0lib/python2.7/site-packages/matplotlib/pyplot.pytuninstall_repl_displayhooks   cC`s+|dkrt}n|j|d|S(Nt include_self(Rjtgcftfindobj(totmatchR|((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR~s  cC`sLtdtj|dtdtddlm}|\aaa a dS(u Switch the default backend. This feature is **experimental**, and is only expected to work switching to an image backend. e.g., if you have a bunch of PostScript scripts that you want to run from an interactive ipython session, you may want to switch to the PS backend before running them to avoid having a bunch of GUI windows popup. If you try to interactively switch from one GUI backend to another, you will explode. Calling this command will close all open windows. ualltwarntforcei(RFN( tcloseRctuseRpRttmatplotlib.backendsRFt _backend_modtnew_figure_managertdraw_if_interactivet_show(t newbackendRF((s0lib/python2.7/site-packages/matplotlib/pyplot.pytswitch_backends cO`s t||S(uL Display a figure. When running in ipython with its pylab mode, display all figures and return to the ipython prompt. In non-interactive mode, display all figures and block until the figures have been closed; in interactive mode it has no effect unless figures were created prior to a change from non-interactive to interactive mode (not recommended). In that case it displays the figures but does not block. A single experimental keyword argument, *block*, may be set to True or False to override the blocking behavior described above. (R(targstkw((s0lib/python2.7/site-packages/matplotlib/pyplot.pytshowscC`s tjS(u, Return status of interactive mode. (RcRd(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt isinteractivescC`stjttdS(uTurn interactive mode off.N(RcRRpR{(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytioffs cC`stjttdS(uTurn interactive mode on.N(RcRRtRx(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytion s cC`sktjj}|dk rZ|j}|jjr=|jntdt |j |n t j |dS(u Pause for *interval* seconds. If there is an active figure, it will be updated and displayed before the pause, and the GUI event loop (if any) will run during the pause. This can be used for crude animation. For more complex animation, see :mod:`matplotlib.animation`. Notes ----- This function is experimental; its behavior may be changed or extended in a future release. tblockN( RtGcft get_activeRjtcanvastfiguretstalet draw_idleRRptstart_event_loopttimetsleep(tintervaltmanagerR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytpauses     cO`stj||dS(N(Rctrc(Rtkwargs((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR-scC`stj||S(N(RcR(Rtfname((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR2scC`s$tjtjr tndS(N(Rct rcdefaultsRdRe(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR7s  cC`s tjS(u Get the current colorable artist. Specifically, returns the current :class:`~matplotlib.cm.ScalarMappable` instance (image or patch collection), or *None* if no images or patch collections have been defined. The commands :func:`~matplotlib.pyplot.imshow` and :func:`~matplotlib.pyplot.figimage` create :class:`~matplotlib.image.Image` instances, and the commands :func:`~matplotlib.pyplot.pcolor` and :func:`~matplotlib.pyplot.scatter` create :class:`~matplotlib.collections.Collection` instances. The current image is an attribute of the current axes, or the nearest earlier axes in the current figure that contains an image. (R}t_gci(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytgciAscC`stj|dS(u Set the current image. This image will be the target of colormap commands like :func:`~matplotlib.pyplot.jet`, :func:`~matplotlib.pyplot.hot` or :func:`~matplotlib.pyplot.clim`). The current image is an attribute of the current axes. N(tgcat_sci(tim((s0lib/python2.7/site-packages/matplotlib/pyplot.pytsciRscO`s t||S(N(t_setp(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR_sidicC`stdrtdnddlm}tidddgd6d d 6|||fd 6|jd d ddgd6dd6dd6dd6dd6td6td6dd6dd6dd 6dd!6dd"6S(#u Turns on `xkcd `_ sketch-style drawing mode. This will only have effect on things drawn after this function is called. For best results, the "Humor Sans" font should be installed: it is not included with matplotlib. Parameters ---------- scale : float, optional The amplitude of the wiggle perpendicular to the source line. length : float, optional The length of the wiggle along the line. randomness : float, optional The scale factor by which the length is shrunken or expanded. Notes ----- This function works by a number of rcParams, so it will probably override others you have set before. If you want the effects of this function to be temporary, it can be used as a context manager, for example:: with plt.xkcd(): # This figure will be in XKCD-style fig1 = plt.figure() # ... # This figure will be in regular style fig2 = plt.figure() u text.usetexu3xkcd mode is not compatible with text.usetex = Truei(t patheffectsuxkcdu Humor Sansu Comic Sans MSu font.familyg,@u font.sizeu path.sketcht linewidthit foregrounduwu path.effectsg?uaxes.linewidthg@ulines.linewidthuwhiteufigure.facecolorgugrid.linewidthu axes.griduaxes.unicode_minusublackuaxes.edgecoloriuxtick.major.sizeiuxtick.major.widthuytick.major.sizeuytick.major.width(Rt RuntimeErrorRcRRt withStrokeRp(tscaletlengtht randomnessR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytxkcdds("  c `s|dkrtd}n|dkr2td}n|dkrKtd}n|dkrdtd}nt} | rt| dnd} d} |dkr| }nzt|tjr|} t} | | kr| dkrtj dn| }q| j | } | | }n t |}t j j|dkrrtd }|dkr{t| |kr{tj d |tntjd krd }nt|d |d|d|d|d|d||| rj| jjj| nfd}jjd|}|_t j jjj}||_tjr]tntrrt |_!qrn|rjjj"njjS(u Creates a new figure. Parameters ---------- num : integer or string, optional, default: none If not provided, a new figure will be created, and the figure number will be incremented. The figure objects holds this number in a `number` attribute. If num is provided, and a figure with this id already exists, make it active, and returns a reference to it. If this figure does not exists, create it and returns it. If num is a string, the window title will be set to this figure's `num`. figsize : tuple of integers, optional, default: None width, height in inches. If not provided, defaults to rc figure.figsize. dpi : integer, optional, default: None resolution of the figure. If not provided, defaults to rc figure.dpi. facecolor : the background color. If not provided, defaults to rc figure.facecolor. edgecolor : the border color. If not provided, defaults to rc figure.edgecolor. frameon : bool, optional, default: True If False, suppress drawing the figure frame. FigureClass : class derived from matplotlib.figure.Figure Optionally use a custom Figure instance. clear : bool, optional, default: False If True and the figure already exists, then it is cleared. Returns ------- figure : Figure The Figure instance returned will also be passed to new_figure_manager in the backends, which allows to hook custom Figure classes into the pylab interface. Additional kwargs will be passed to the figure init function. Notes ----- If you are creating many figures, make sure you explicitly call "close" on the figures you are not using, because this will enable pylab to properly clean up the memory. rcParams defines the default values, which can be modified in the matplotlibrc file ufigure.figsizeu figure.dpiufigure.facecolorufigure.edgecoloriuuallu(close('all') closes all existing figuresufigure.max_open_warninguMore than %d figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).upsiHtfigsizetdpit facecolort edgecolortframeont FigureClassc`stjjdS(N(RRt set_active(tevent(t figManager(s0lib/python2.7/site-packages/matplotlib/pyplot.pyt make_activesubutton_press_eventN(#RjRt get_fignumstmaxt isinstancetsixt string_typest get_figlabelstwarningsRtindextintRRtget_fig_managertlentRuntimeWarningRtlowerRtset_window_titleRRt set_labelt mpl_connectt_cidgcfRtnumberRcRdRRqt_auto_draw_if_interactivetstale_callbacktclear(tnumRRRRRRRRtallnumstnext_numtfigLabelt allLabelstinumtmax_open_warningRtcidtfig((Rs0lib/python2.7/site-packages/matplotlib/pyplot.pyRsnC                           cC`s6|r2tjr2|jj r2|jjndS(u This is an internal helper function for making sure that auto-redrawing works as intended in the plain python repl. Parameters ---------- fig : Figure A figure object which is assumed to be associated with a canvas N(RcRdRt is_savingR(Rtval((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR6s "cC`s0tjj}|dk r%|jjStSdS(u&Get a reference to the current figure.N(RRRRjRR(R((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR}Ds  cC`stjj|p|tkS(N(RRt has_fignumR(R((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt fignum_existsMscC`sttjjS(u)Return a list of existing figure numbers.(tsortedRRtfigs(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRQscC`sEtjj}|jddg|D]}|jjj^q)S(u(Return a list of existing figure labels.tkeycS`s|jS(N(R(tm((s0lib/python2.7/site-packages/matplotlib/pyplot.pytYs(RRtget_all_fig_managerstsortRRt get_label(t figManagersR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRVscC`s8tjj}|dkr4ttjj}n|S(N(RRRRjR}(R((s0lib/python2.7/site-packages/matplotlib/pyplot.pytget_current_fig_manager]s  cC`stjj||S(N(RRR(tstfunc((s0lib/python2.7/site-packages/matplotlib/pyplot.pytconnectescC`stjj|S(N(RRtmpl_disconnect(R((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt disconnectjscG`sgt|dkrGtjj}|dkr1dStjj|jnt|dkrW|d}|dkrtjjqct|t j rtjj|qct |drtjj|j qct|t j rt}||krTt|j|}tjj|qTqct|tr>tjj|qctdt|n tddS(uA Close a figure window. ``close()`` by itself closes the current figure ``close(fig)`` closes the `.Figure` instance *fig* ``close(num)`` closes the figure number *num* ``close(name)`` where *name* is a string, closes figure with that label ``close('all')`` closes all the figure windows iNiualluintu&Unrecognized argument type %s to closeuclose takes 0 or 1 arguments(RRRRRjtdestroyRt destroy_allRRt integer_typesthasattrRRRRRRt destroy_figt TypeErrorttype(RRtargRR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRos,     cC`stjdS(u# Clear the current figure. N(R}tclf(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscC`stjjdS(u+Redraw the current figure. This is used to update a figure that has been altered, but not automatically re-drawn. If interactive mode is on (:func:`.ion()`), this should be only rarely needed, but there may be ways to modify the state of a figure without marking it as `stale`. Please report these cases as bugs. A more object-oriented alternative, given any :class:`~matplotlib.figure.Figure` instance, :attr:`fig`, that was created using a :mod:`~matplotlib.pyplot` function, is:: fig.canvas.draw_idle() N(RRR(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytdrawscO`s,t}|j||}|jj|S(N(R}tsavefigRR(RRRtres((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs  cO`stj||S(u Blocking call to interact with the figure. This will wait for *n* clicks from the user and return a list of the coordinates of each click. If *timeout* is negative, does not timeout. (R}tginput(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs cO`stj||S(u Blocking call to interact with the figure. This will wait for *n* key or mouse clicks from the user and return a list containing True's for keyboard clicks and False's for mouse clicks. If *timeout* is negative, does not timeout. (R}twaitforbuttonpress(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs cO`stj||S(N(R}ttext(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytfigtextscO`stj||S(N(R}tsuptitle(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscO`stj||S(N(R}tfigimage(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscO`stj||S(u Place a legend in the figure. *labels* a sequence of strings *handles* a sequence of :class:`~matplotlib.lines.Line2D` or :class:`~matplotlib.patches.Patch` instances *loc* can be a string or an integer specifying the legend location A :class:`matplotlib.legend.Legend` instance is returned. Examples -------- To make a legend from existing artists on every axes:: figlegend() To make a legend for a list of lines and labels:: figlegend( (line1, line2, line3), ('label1', 'label2', 'label3'), 'upper right' ) .. seealso:: :func:`~matplotlib.pyplot.legend` (R}tlegend(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt figlegends#upyplot.hold is deprecated. Future behavior will be consistent with the long-time default: plot commands add elements without first clearing the Axes and/or Figure.u2.0tmessagecC`s_t}|j}|dk r0t|}n||_||_|j}tdd|dS(u Set the hold state. If *b* is None (default), toggle the hold state, else set the hold state to boolean value *b*:: hold() # toggle hold hold(True) # hold is on hold(False) # hold is off When *hold* is *True*, subsequent plot commands will add elements to the current axes. When *hold* is *False*, the current axes and figure will be cleared on the next plot command. uaxestholdN(R}RRjtboolt_holdR(tbRtax((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs      cC`s tjS(u5 Return the hold status of the current axes. (RR(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytishold7scO`s5t}|j}t|_|||||_dS(u Call a function with hold(True). Calls:: func(*args, **kwargs) with ``hold(True)`` and then restores the hold state. N(RRRt(RRRRth((s0lib/python2.7/site-packages/matplotlib/pyplot.pytover?s    cK`si|dkrtd|St|trLtddd|}t||S|}tj||SdS(uv Add an axes to the current figure and make it the current axes. Parameters ---------- arg : None or 4-tuple or Axes The exact behavior of this function depends on the type: - *None*: A new full window axes is added using ``subplot(111, **kwargs)`` - 4-tuple of floats *rect* = ``[left, bottom, width, height]``. A new axes is added with dimensions *rect* in normalized (0, 1) units using `~.Figure.add_axes` on the current figure. - `~matplotlib.axes.Axes`: This is equivalent to `.pyplot.sca`. It sets the current axes to *arg*. Note: This implicitly changes the current figure to the parent of *arg*. .. note:: The use of an Axes as an argument is deprecated and will be removed in v3.0. Please use `.pyplot.sca` instead. Other Parameters ---------------- **kwargs : For allowed keyword arguments see `.pyplot.subplot` and `.Figure.add_axes` respectively. Some common keyword arguments are listed below: ========= =========== ================================================= kwarg Accepts Description ========= =========== ================================================= facecolor color the axes background color frameon bool whether to display the frame sharex otherax share x-axis with *otherax* sharey otherax share y-axis with *otherax* polar bool whether to use polar axes aspect [str | num] ['equal', 'auto'] or a number. If a number, the ratio of y-unit/x-unit in screen-space. See also `~.Axes.set_aspect`. ========= =========== ================================================= Returns ------- axes : Axes The created or activated axes. Examples -------- Creating a new full window axes:: >>> plt.axes() Creating a new axes with specified dimensions and some kwargs:: >>> plt.axes((left, bottom, width, height), facecolor='w') iou2.2Ru`Using pyplot.axes(ax) with ax an Axes argument is deprecated. Please use pyplot.sca(ax) instead.N(RjtsubplotRRR tscaR}tadd_axes(RRRtrect((s0lib/python2.7/site-packages/matplotlib/pyplot.pytaxesTs:    cC`s,|dkrt}ntj|dS(u Remove the given `Axes` *ax* from the current figure. If *ax* is *None*, the current axes is removed. A KeyError is raised if the axes doesn't exist. N(RjRR}tdelaxes(R((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs  cC`sltjj}xJ|D]B}||jjjkrtjj||jjj|dSqWtddS(uj Set the current Axes instance to *ax*. The current Figure is updated to the parent of *ax*. Nu1Axes instance argument was not found in a figure.( RRRRRRRR t ValueError(RtmanagersR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s cK`stj|S(u Get the current :class:`~matplotlib.axes.Axes` instance on the current figure matching the given keyword args, or create one. Examples -------- To get the current polar axes on the current figure:: plt.gca(projection='polar') If the current axes doesn't exist, or isn't a polar one, the appropriate axes will be created and then returned. See Also -------- matplotlib.figure.Figure.gca : The figure's gca method. (R}R(R((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscO`st|dkrd}nt|dkrPt|dtrPtjdnt}|j||}|j}g}xE|jD]:}||krqn|j |jr|j |qqWx|D]}t |qW|S(uY Return a subplot axes at the given grid position. Call signature:: subplot(nrows, ncols, index, **kwargs) In the current figure, create and return an `~matplotlib.axes.Axes`, at position *index* of a (virtual) grid of *nrows* by *ncols* axes. Indexes go from 1 to ``nrows * ncols``, incrementing in row-major order. If *nrows*, *ncols* and *index* are all less than 10, they can also be given as a single, concatenated, three-digit number. For example, ``subplot(2, 3, 3)`` and ``subplot(233)`` both create an `matplotlib.axes.Axes` at the top right corner of the current figure, occupying half of the figure height and a third of the figure width. .. note:: Creating a subplot will delete any pre-existing subplot that overlaps with it beyond sharing a boundary:: import matplotlib.pyplot as plt # plot a line, implicitly creating a subplot(111) plt.plot([1,2,3]) # now create a subplot which represents the top plot of a grid # with 2 rows and 1 column. Since this subplot will overlap the # first, the plot (and its axes) previously created, will be removed plt.subplot(211) plt.plot(range(12)) plt.subplot(212, facecolor='y') # creates 2nd subplot with yellow background If you do not want this behavior, use the :meth:`~matplotlib.figure.Figure.add_subplot` method or the :func:`~matplotlib.pyplot.axes` function instead. Keyword arguments: *facecolor*: The background color of the subplot, which can be any valid color specifier. See :mod:`matplotlib.colors` for more information. *polar*: A boolean flag indicating whether the subplot plot should be a polar projection. Defaults to *False*. *projection*: A string giving the name of a custom projection to be used for the subplot. This projection must have been previously registered. See :mod:`matplotlib.projections`. .. seealso:: :func:`~matplotlib.pyplot.axes` For additional information on :func:`axes` and :func:`subplot` keyword arguments. :file:`gallery/pie_and_polar_charts/polar_scatter.py` For an example **Example:** .. plot:: gallery/subplots_axes_and_figures/subplot.py iiiiubThe subplot index argument to subplot() appears to be a boolean. Did you intend to use subplots()?(iii( RRRRRR}t add_subplottbboxRtfully_overlapstappendR(RRRtaRtbyebyetotherR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s E %    c K`sLt|}|jd|d|d|d|d|d|d|} || fS(u Create a figure and a set of subplots This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. Parameters ---------- nrows, ncols : int, optional, default: 1 Number of rows/columns of the subplot grid. sharex, sharey : bool or {'none', 'all', 'row', 'col'}, default: False Controls sharing of properties among x (`sharex`) or y (`sharey`) axes: - True or 'all': x- or y-axis will be shared among all subplots. - False or 'none': each subplot x- or y-axis will be independent. - 'row': each subplot row will share an x- or y-axis. - 'col': each subplot column will share an x- or y-axis. When subplots have a shared x-axis along a column, only the x tick labels of the bottom subplot are created. Similarly, when subplots have a shared y-axis along a row, only the y tick labels of the first column subplot are created. To later turn other subplots' ticklabels on, use :meth:`~matplotlib.axes.Axes.tick_params`. squeeze : bool, optional, default: True - If True, extra dimensions are squeezed out from the returned array of Axes: - if only one subplot is constructed (nrows=ncols=1), the resulting single Axes object is returned as a scalar. - for Nx1 or 1xM subplots, the returned object is a 1D numpy object array of Axes objects. - for NxM, subplots with N>1 and M>1 are returned as a 2D array. - If False, no squeezing at all is done: the returned Axes object is always a 2D array containing Axes instances, even if it ends up being 1x1. subplot_kw : dict, optional Dict with keywords passed to the :meth:`~matplotlib.figure.Figure.add_subplot` call used to create each subplot. gridspec_kw : dict, optional Dict with keywords passed to the :class:`~matplotlib.gridspec.GridSpec` constructor used to create the grid the subplots are placed on. **fig_kw : All additional keyword arguments are passed to the :func:`figure` call. Returns ------- fig : :class:`matplotlib.figure.Figure` object ax : Axes object or array of Axes objects. ax can be either a single :class:`matplotlib.axes.Axes` object or an array of Axes objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above. Examples -------- First create some toy data: >>> x = np.linspace(0, 2*np.pi, 400) >>> y = np.sin(x**2) Creates just a figure and only one subplot >>> fig, ax = plt.subplots() >>> ax.plot(x, y) >>> ax.set_title('Simple plot') Creates two subplots and unpacks the output array immediately >>> f, (ax1, ax2) = plt.subplots(1, 2, sharey=True) >>> ax1.plot(x, y) >>> ax1.set_title('Sharing Y axis') >>> ax2.scatter(x, y) Creates four polar axes, and accesses them through the returned array >>> fig, axes = plt.subplots(2, 2, subplot_kw=dict(polar=True)) >>> axes[0, 0].plot(x, y) >>> axes[1, 1].scatter(x, y) Share a X axis with each column of subplots >>> plt.subplots(2, 2, sharex='col') Share a Y axis with each row of subplots >>> plt.subplots(2, 2, sharey='row') Share both X and Y axes with all subplots >>> plt.subplots(2, 2, sharex='all', sharey='all') Note that this is the same as >>> plt.subplots(2, 2, sharex=True, sharey=True) See Also -------- figure subplot tnrowstncolstsharextshareytsqueezet subplot_kwt gridspec_kw(Rtsubplots( RRRRRRR tfig_kwRtaxs((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR!-s s !  cK`s|dkrt}n|\}}t||j|d|d|}|j||} | j} g} xE|jD]:} | | krqsn| j| jrs| j| qsqsWx| D]} t | qW| S(u Create an axis at specific location inside a regular grid. Parameters ---------- shape : sequence of 2 ints Shape of grid in which to place axis. First entry is number of rows, second entry is number of columns. loc : sequence of 2 ints Location to place axis within grid. First entry is row number, second entry is column number. rowspan : int Number of rows for the axis to span to the right. colspan : int Number of columns for the axis to span downwards. fig : `Figure`, optional Figure to place axis in. Defaults to current figure. **kwargs Additional keyword arguments are handed to `add_subplot`. Notes ----- The following call :: subplot2grid(shape, loc, rowspan=1, colspan=1) is identical to :: gridspec=GridSpec(shape[0], shape[1]) subplotspec=gridspec.new_subplotspec(loc, rowspan, colspan) subplot(subplotspec) trowspantcolspanN( RjR}Rtnew_subplotspecRRRRRR(tshapetlocR$R%RRts1ts2t subplotspecRRRRR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt subplot2grids"(       cC`s(|dkrt}n|j}|S(u@ Make a second axes that shares the *x*-axis. The new axes will overlay *ax* (or the current axes if *ax* is *None*). The ticks for *ax2* will be placed on the right, and the *ax2* instance is returned. .. seealso:: :file:`examples/api_examples/two_scales.py` For an example N(RjRttwinx(Rtax1((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR-s   cC`s(|dkrt}n|j}|S(u Make a second axes that shares the *y*-axis. The new axis will overlay *ax* (or the current axes if *ax* is *None*). The ticks for *ax2* will be placed on the top, and the *ax2* instance is returned. N(RjRttwiny(RR.((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR/s   cO`st}|j||dS(uX Tune the subplot layout. call signature:: subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) The parameter meanings (and suggested defaults) are:: left = 0.125 # the left side of the subplots of the figure right = 0.9 # the right side of the subplots of the figure bottom = 0.1 # the bottom of the subplots of the figure top = 0.9 # the top of the subplots of the figure wspace = 0.2 # the amount of width reserved for space between subplots, # expressed as a fraction of the average axis width hspace = 0.2 # the amount of height reserved for space between subplots, # expressed as a fraction of the average axis height The actual defaults are controlled by the rc file N(R}tsubplots_adjust(RRR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR0s cC`std}dtd<|d kr8t}|jj}n9x6tjjD]}|jj|krEPqEqEWtdtdd }|j ddt ||}|td>> axis() returns the current axes limits ``[xmin, xmax, ymin, ymax]``.:: >>> axis(v) sets the min and max of the x and y axes, with ``v = [xmin, xmax, ymin, ymax]``.:: >>> axis('off') turns off the axis lines and labels.:: >>> axis('equal') changes limits of *x* or *y* axis so that equal increments of *x* and *y* have the same length; a circle is circular.:: >>> axis('scaled') achieves the same result by changing the dimensions of the plot box instead of the axis data limits.:: >>> axis('tight') changes *x* and *y* axis limits such that all data is shown. If all data is already shown, it will move it to the center of the figure without modifying (*xmax* - *xmin*) or (*ymax* - *ymin*). Note this is slightly different than in MATLAB.:: >>> axis('image') is 'scaled' with the axis limits equal to the data limits.:: >>> axis('auto') and:: >>> axis('normal') are deprecated. They restore default behavior; axis limits are automatically scaled to make the data fit comfortably within the plot box. if ``len(*v)==0``, you can pass in *xmin*, *xmax*, *ymin*, *ymax* as kwargs selectively to alter just those limits without changing the others. >>> axis('square') changes the limit ranges (*xmax*-*xmin*) and (*ymax*-*ymin*) of the *x* and *y* axes to be the same, and have the same scaling, resulting in a square plot. The xmin, xmax, ymin, ymax tuple is returned .. seealso:: :func:`xlim`, :func:`ylim` For setting the x- and y-limits individually. (Rtaxis(tvR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRBsBcO`stj|||S(u  Set the x-axis label of the current axes. Call signature:: xlabel(label, fontdict=None, labelpad=None, **kwargs) This is the pyplot equivalent of calling `.set_xlabel` on the current axes. See there for a full parameter description. (Rt set_xlabel(RRR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytxlabels cO`stj|||S(u  Set the y-axis label of the current axes. Call signature:: ylabel(label, fontdict=None, labelpad=None, **kwargs) This is the pyplot equivalent of calling `.set_ylabel` on the current axes. See there for a full parameter description. (Rt set_ylabel(RRR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytylabels cO`s7t}| r!| r!|jS|j||}|S(u Get or set the x limits of the current axes. Call signatures:: xmin, xmax = xlim() # return the current xlim xlim((xmin, xmax)) # set the xlim to xmin, xmax xlim(xmin, xmax) # set the xlim to xmin, xmax If you do not specify args, you can pass *xmin* or *xmax* as kwargs, i.e.:: xlim(xmax=3) # adjust the max leaving min unchanged xlim(xmin=1) # adjust the min leaving max unchanged Setting limits turns autoscaling off for the x-axis. Returns ------- xmin, xmax A tuple of the new x-axis limits. Notes ----- Calling this function with no arguments (e.g. ``xlim()``) is the pyplot equivalent of calling `~.Axes.get_xlim` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_xlim` on the current axes. All arguments are passed though. (Rtget_xlimtset_xlim(RRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pytxlims   cO`s7t}| r!| r!|jS|j||}|S(u Get or set the y-limits of the current axes. Call signatures:: ymin, ymax = ylim() # return the current ylim ylim((ymin, ymax)) # set the ylim to ymin, ymax ylim(ymin, ymax) # set the ylim to ymin, ymax If you do not specify args, you can alternatively pass *ymin* or *ymax* as kwargs, i.e.:: ylim(ymax=3) # adjust the max leaving min unchanged ylim(ymin=1) # adjust the min leaving max unchanged Setting limits turns autoscaling off for the y-axis. Returns ------- ymin, ymax A tuple of the new y-axis limits. Notes ----- Calling this function with no arguments (e.g. ``ylim()``) is the pyplot equivalent of calling `~.Axes.get_ylim` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_ylim` on the current axes. All arguments are passed though. (Rtget_ylimtset_ylim(RRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pytylims   cO`stj||dS(u Set the scaling of the x-axis. Call signature:: xscale(scale, **kwargs) Parameters ---------- scale : [%(scale)s] The scaling type. **kwargs Additional parameters depend on *scale*. See Notes. Notes ----- This is the pyplot equivalent of calling `~.Axes.set_xscale` on the current axes. Different keywords may be accepted, depending on the scale: %(scale_docs)s N(Rt set_xscale(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytxscale:scO`stj||dS(u Set the scaling of the y-axis. Call signature:: yscale(scale, **kwargs) Parameters ---------- scale : [%(scale)s] The scaling type. **kwargs Additional parameters depend on *scale*. See Notes. Notes ----- This is the pyplot equivalent of calling `~.Axes.set_yscale` on the current axes. Different keywords may be accepted, depending on the scale: %(scale_docs)s N(Rt set_yscale(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytyscaleVscO`st}t|dkr6|j}|j}n~t|dkrj|j|d}|j}nJt|dkr|j|d}|j|d|}n tdt|rx|D]}|j|qWn|td|fS(u Get or set the current tick locations and labels of the x-axis. Call signatures:: locs, labels = xticks() # Get locations and labels xticks(locs, [labels], **kwargs) # Set locations and labels Parameters ---------- locs : array_like A list of positions at which ticks should be placed. You can pass an empty list to disable xticks. labels : array_like, optional A list of explicit labels to place at the given *locs*. **kwargs :class:`.Text` properties can be used to control the appearance of the labels. Returns ------- locs An array of label locations. labels A list of `.Text` objects. Notes ----- Calling this function with no arguments (e.g. ``xticks()``) is the pyplot equivalent of calling `~.Axes.get_xticks` and `~.Axes.get_xticklabels` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_xticks` and `~.Axes.set_xticklabels` on the current axes. Examples -------- Get the current locations and labels: >>> locs, labels = xticks() Set label locations: >>> xticks(np.arange(0, 1, step=0.2)) Set text labels: >>> xticks(np.arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue')) Set text labels and properties: >>> xticks(np.arange(12), calendar.month_name[1:13], rotation=20) Disable xticks: >>> xticks([]) iiiu%Illegal number of arguments to xticksuText xticklabel( RRt get_xtickstget_xticklabelst set_xtickstset_xticklabelsRtupdateR (RRRtlocstlabelstl((s0lib/python2.7/site-packages/matplotlib/pyplot.pytxticksrs<     cO`st}t|dkr6|j}|j}n~t|dkrj|j|d}|j}nJt|dkr|j|d}|j|d|}n tdt|rx|D]}|j|qWn|td|fS(u Get or set the current tick locations and labels of the y-axis. Call signatures:: locs, labels = yticks() # Get locations and labels yticks(locs, [labels], **kwargs) # Set locations and labels Parameters ---------- locs : array_like A list of positions at which ticks should be placed. You can pass an empty list to disable yticks. labels : array_like, optional A list of explicit labels to place at the given *locs*. **kwargs :class:`.Text` properties can be used to control the appearance of the labels. Returns ------- locs An array of label locations. labels A list of `.Text` objects. Notes ----- Calling this function with no arguments (e.g. ``yticks()``) is the pyplot equivalent of calling `~.Axes.get_yticks` and `~.Axes.get_yticklabels` on the current axes. Calling this function with arguments is the pyplot equivalent of calling `~.Axes.set_yticks` and `~.Axes.set_yticklabels` on the current axes. Examples -------- Get the current locations and labels: >>> locs, labels = yticks() Set label locations: >>> yticks(np.arange(0, 1, step=0.2)) Set text labels: >>> yticks(np.arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue')) Set text labels and properties: >>> yticks(np.arange(12), calendar.month_name[1:13], rotation=45) Disable yticks: >>> yticks([]) iiiu%Illegal number of arguments to yticksuText yticklabel( RRt get_ytickstget_yticklabelst set_ytickstset_yticklabelsRRVR (RRRRWRXRY((s0lib/python2.7/site-packages/matplotlib/pyplot.pytytickss <     cC`stjdS(u Display minor ticks on the current plot. Displaying minor ticks reduces performance; turn them off using minorticks_off() if drawing speed is a problem. N(Rt minorticks_on(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR`scC`stjdS(u3 Remove minor ticks from the current plot. N(Rtminorticks_off(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRascO`st}t|ts'tdnt|dkrZ|jj}|jj}n|j||\}}t d|t d|fS(u Get or set the radial gridlines on a polar plot. call signatures:: lines, labels = rgrids() lines, labels = rgrids(radii, labels=None, angle=22.5, **kwargs) When called with no arguments, :func:`rgrid` simply returns the tuple (*lines*, *labels*), where *lines* is an array of radial gridlines (:class:`~matplotlib.lines.Line2D` instances) and *labels* is an array of tick labels (:class:`~matplotlib.text.Text` instances). When called with arguments, the labels will appear at the specified radial distances and angles. *labels*, if not *None*, is a len(*radii*) list of strings of the labels to use at each angle. If *labels* is None, the rformatter will be used Examples:: # set the locations of the radial gridlines and labels lines, labels = rgrids( (0.25, 0.5, 1.0) ) # set the locations and labels of the radial gridlines and labels lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' ) u"rgrids only defined for polar axesiuLine2D rgridlineuText rgridlabel( RRR RRtyaxist get_gridlinestget_ticklabelst set_rgridsR (RRRtlinesRX((s0lib/python2.7/site-packages/matplotlib/pyplot.pytrgrids$s  cO`st}t|ts'tdnt|dkrZ|jj}|jj}n|j||\}}t d|t d|fS(u Get or set the theta locations of the gridlines in a polar plot. If no arguments are passed, return a tuple (*lines*, *labels*) where *lines* is an array of radial gridlines (:class:`~matplotlib.lines.Line2D` instances) and *labels* is an array of tick labels (:class:`~matplotlib.text.Text` instances):: lines, labels = thetagrids() Otherwise the syntax is:: lines, labels = thetagrids(angles, labels=None, fmt='%d', frac = 1.1) set the angles at which to place the theta grids (these gridlines are equal along the theta dimension). *angles* is in degrees. *labels*, if not *None*, is a len(angles) list of strings of the labels to use at each angle. If *labels* is *None*, the labels will be ``fmt%angle``. *frac* is the fraction of the polar axes radius at which to place the label (1 is the edge). e.g., 1.05 is outside the axes and 0.95 is inside the axes. Return value is a list of tuples (*lines*, *labels*): - *lines* are :class:`~matplotlib.lines.Line2D` instances - *labels* are :class:`~matplotlib.text.Text` instances. Note that on input, the *labels* argument is a list of strings, and on output it is a list of :class:`~matplotlib.text.Text` instances. Examples:: # set the locations of the radial gridlines and labels lines, labels = thetagrids( range(45,360,90) ) # set the locations and labels of the radial gridlines and labels lines, labels = thetagrids( range(45,360,90), ('NE', 'NW', 'SW','SE') ) u"rgrids only defined for polar axesiuLine2D thetagridlineuText thetagridlabel( RRR RRtxaxist get_ticklinesRdtset_thetagridsR (RRRRfRX((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt thetagridsPs/  cC`sdS(N((((s0lib/python2.7/site-packages/matplotlib/pyplot.pytplottingsc C`sddl}ddddddd d d h }|ttO}|jt}t}x{ttjtD]a\}}|j d sq||krqqn|j |rq|j||krq|j |qqqqWt |S( u< Get a sorted list of all of the plotting commands. iNu colormapsucolorsuconnectu disconnectuget_plot_commandsuget_current_fig_manageruginputuplottinguwaitforbuttonpressu_( tinspecttsett colormapst getmoduletget_plot_commandstlistRt iteritemstglobalst startswitht isfunctiontaddR(Rmtexcludet this_moduletcommandstnametobj((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRqs     %$u2.1cC`sdS(ur This is a do-nothing function to provide you with help on how matplotlib handles colors. Commands which take color arguments can use several formats to specify the colors. For the basic built-in colors, you can use a single letter ===== ======= Alias Color ===== ======= 'b' blue 'g' green 'r' red 'c' cyan 'm' magenta 'y' yellow 'k' black 'w' white ===== ======= For a greater range of colors, you have two options. You can specify the color using an html hex string, as in:: color = '#eeefff' or you can pass an R,G,B tuple, where each of R,G,B are in the range [0,1]. You can also use any legal html name for a color, for example:: color = 'red' color = 'burlywood' color = 'chartreuse' The example below creates a subplot with a dark slate gray background:: subplot(111, facecolor=(0.1843, 0.3098, 0.3098)) Here is an example that creates a pale turquoise title:: title('Is this the best color?', color='#afeeee') N((((s0lib/python2.7/site-packages/matplotlib/pyplot.pytcolorss/cC`s ttjS(u* Matplotlib provides a number of colormaps, and others can be added using :func:`~matplotlib.cm.register_cmap`. This function documents the built-in colormaps, and will also return a list of all registered colormaps if called. You can set the colormap for an image, pcolor, scatter, etc, using a keyword argument:: imshow(X, cmap=cm.hot) or using the :func:`set_cmap` function:: imshow(X) pyplot.set_cmap('hot') pyplot.set_cmap('jet') In interactive mode, :func:`set_cmap` will update the colormap post-hoc, allowing you to see which one works best for your data. All built-in colormaps can be reversed by appending ``_r``: For instance, ``gray_r`` is the reverse of ``gray``. There are several common color schemes used in visualization: Sequential schemes for unipolar data that progresses from low to high Diverging schemes for bipolar data that emphasizes positive or negative deviations from a central value Cyclic schemes meant for plotting values that wrap around at the endpoints, such as phase angle, wind direction, or time of day Qualitative schemes for nominal data that has no inherent ordering, where color is used only to distinguish categories Matplotlib ships with 4 perceptually uniform color maps which are the recommended color maps for sequential data: ========= =================================================== Colormap Description ========= =================================================== inferno perceptually uniform shades of black-red-yellow magma perceptually uniform shades of black-red-white plasma perceptually uniform shades of blue-red-yellow viridis perceptually uniform shades of blue-green-yellow ========= =================================================== The following colormaps are based on the `ColorBrewer `_ color specifications and designs developed by Cynthia Brewer: ColorBrewer Diverging (luminance is highest at the midpoint, and decreases towards differently-colored endpoints): ======== =================================== Colormap Description ======== =================================== BrBG brown, white, blue-green PiYG pink, white, yellow-green PRGn purple, white, green PuOr orange, white, purple RdBu red, white, blue RdGy red, white, gray RdYlBu red, yellow, blue RdYlGn red, yellow, green Spectral red, orange, yellow, green, blue ======== =================================== ColorBrewer Sequential (luminance decreases monotonically): ======== ==================================== Colormap Description ======== ==================================== Blues white to dark blue BuGn white, light blue, dark green BuPu white, light blue, dark purple GnBu white, light green, dark blue Greens white to dark green Greys white to black (not linear) Oranges white, orange, dark brown OrRd white, orange, dark red PuBu white, light purple, dark blue PuBuGn white, light purple, dark green PuRd white, light purple, dark red Purples white to dark purple RdPu white, pink, dark purple Reds white to dark red YlGn light yellow, dark green YlGnBu light yellow, light green, dark blue YlOrBr light yellow, orange, dark brown YlOrRd light yellow, orange, dark red ======== ==================================== ColorBrewer Qualitative: (For plotting nominal data, :class:`ListedColormap` is used, not :class:`LinearSegmentedColormap`. Different sets of colors are recommended for different numbers of categories.) * Accent * Dark2 * Paired * Pastel1 * Pastel2 * Set1 * Set2 * Set3 A set of colormaps derived from those of the same name provided with Matlab are also included: ========= ======================================================= Colormap Description ========= ======================================================= autumn sequential linearly-increasing shades of red-orange-yellow bone sequential increasing black-white color map with a tinge of blue, to emulate X-ray film cool linearly-decreasing shades of cyan-magenta copper sequential increasing shades of black-copper flag repetitive red-white-blue-black pattern (not cyclic at endpoints) gray sequential linearly-increasing black-to-white grayscale hot sequential black-red-yellow-white, to emulate blackbody radiation from an object at increasing temperatures hsv cyclic red-yellow-green-cyan-blue-magenta-red, formed by changing the hue component in the HSV color space jet a spectral map with dark endpoints, blue-cyan-yellow-red; based on a fluid-jet simulation by NCSA [#]_ pink sequential increasing pastel black-pink-white, meant for sepia tone colorization of photographs prism repetitive red-yellow-green-blue-purple-...-green pattern (not cyclic at endpoints) spring linearly-increasing shades of magenta-yellow summer sequential linearly-increasing shades of green-yellow winter linearly-increasing shades of blue-green ========= ======================================================= A set of palettes from the `Yorick scientific visualisation package `_, an evolution of the GIST package, both by David H. Munro are included: ============ ======================================================= Colormap Description ============ ======================================================= gist_earth mapmaker's colors from dark blue deep ocean to green lowlands to brown highlands to white mountains gist_heat sequential increasing black-red-orange-white, to emulate blackbody radiation from an iron bar as it grows hotter gist_ncar pseudo-spectral black-blue-green-yellow-red-purple-white colormap from National Center for Atmospheric Research [#]_ gist_rainbow runs through the colors in spectral order from red to violet at full saturation (like *hsv* but not cyclic) gist_stern "Stern special" color table from Interactive Data Language software ============ ======================================================= Other miscellaneous schemes: ============= ======================================================= Colormap Description ============= ======================================================= afmhot sequential black-orange-yellow-white blackbody spectrum, commonly used in atomic force microscopy brg blue-red-green bwr diverging blue-white-red coolwarm diverging blue-gray-red, meant to avoid issues with 3D shading, color blindness, and ordering of colors [#]_ CMRmap "Default colormaps on color images often reproduce to confusing grayscale images. The proposed colormap maintains an aesthetically pleasing color image that automatically reproduces to a monotonic grayscale with discrete, quantifiable saturation levels." [#]_ cubehelix Unlike most other color schemes cubehelix was designed by D.A. Green to be monotonically increasing in terms of perceived brightness. Also, when printed on a black and white postscript printer, the scheme results in a greyscale with monotonically increasing brightness. This color scheme is named cubehelix because the r,g,b values produced can be visualised as a squashed helix around the diagonal in the r,g,b color cube. gnuplot gnuplot's traditional pm3d scheme (black-blue-red-yellow) gnuplot2 sequential color printable as gray (black-blue-violet-yellow-white) ocean green-blue-white rainbow spectral purple-blue-green-yellow-orange-red colormap with diverging luminance seismic diverging blue-white-red nipy_spectral black-purple-blue-green-yellow-red-white spectrum, originally from the Neuroimaging in Python project terrain mapmaker's colors, blue-green-yellow-brown-white, originally from IGOR Pro ============= ======================================================= The following colormaps are redundant and may be removed in future versions. It's recommended to use the names in the descriptions instead, which produce identical output: ========= ======================================================= Colormap Description ========= ======================================================= gist_gray identical to *gray* gist_yarg identical to *gray_r* binary identical to *gray_r* spectral identical to *nipy_spectral* [#]_ ========= ======================================================= .. rubric:: Footnotes .. [#] Rainbow colormaps, ``jet`` in particular, are considered a poor choice for scientific visualization by many researchers: `Rainbow Color Map (Still) Considered Harmful `_ .. [#] Resembles "BkBlAqGrYeOrReViWh200" from NCAR Command Language. See `Color Table Gallery `_ .. [#] See `Diverging Color Maps for Scientific Visualization `_ by Kenneth Moreland. .. [#] See `A Color Map for Effective Black-and-White Rendering of Color-Scale Images `_ by Carey Rappaport .. [#] Changed to distinguish from ColorBrewer's *Spectral* map. :func:`spectral` still works, but ``set_cmap('nipy_spectral')`` is recommended for clarity. (RR$tcmap_d(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRosc C`sddl}d}t}|jdd|j}g}d}d}x|D]}t|j}d} |dk r|j|} | dk r| jdj j dd} qnd |}|j || gt |t |}t |t | }qOWg} d |dd |} | j | | j dj|d ||d |g| j | xB|D]:\}} | j dj||||| |gqoW| j | dj| t_dS( u Generates the plotting and docstring. These must be done after the entire module is imported, so it is called from the end of this module, which is generated by boilerplate.py. iNcS`s0|t|kr|| S|d|t|S(uPad string *s* to length *l*.u (R(RRY((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR8su(?:\s*).+?\.(?:\s+|$)tflagsuu u u`%s`u=uFunctionu Description(treRqtcompiletDOTALLRtt__doc__RjRtgrouptstriptreplaceRRRtjoinRl( RR8Rztfirst_sentencetrowstmax_namet max_summaryR{tdoctsummaryRRftsep((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt_setup_pyplot_info_docstringss:      '    cK`sp|dkr3t}|dkr3tdq3n|dkrKt}ntj|d|d||}|S(NuNo mappable was found to use for colorbar creation. First define a mappable such as an image (with imshow) or a contour set (with contourf).tcaxR(RjRRRR}tcolorbar(tmappableRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s     !cC`s8t}|dkr$tdn|j||dS(up Set the color limits of the current image. To apply clim to all axes images do:: clim(0, 0.5) If either *vmin* or *vmax* is None, the image min/max respectively will be used for color scaling. If you want to set the clim of multiple images, use, for example:: for im in gca().get_images(): im.set_clim(0, 0.05) u1You must first define an image, e.g., with imshowN(RRjRtset_clim(tvmintvmaxR((s0lib/python2.7/site-packages/matplotlib/pyplot.pytclim s  cC`sKtj|}tdd|jt}|dk rG|j|ndS(u; Set the default colormap. Applies to the current image if any. See help(colormaps) for more information. *cmap* must be a :class:`~matplotlib.colors.Colormap` instance, or the name of a registered colormap. See :func:`matplotlib.cm.register_cmap` and :func:`matplotlib.cm.get_cmap`. uimagetcmapN(R$R%RR{RRjtset_cmap(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR. s   cO`s t||S(N(t_imread(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRC scO`s t||S(N(t_imsave(RR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRH scK`stj|}|tks'|dkr3t}n3t|dt|}|jddddg}|j||}t||S(u Display an array as a matrix in a new figure window. The origin is set at the upper left hand corner and rows (first dimension of the array) are displayed horizontally. The aspect ratio of the figure window is that of the array, unless this would make an excessively short or narrow figure. Tick labels for the xaxis are placed on top. Parameters ---------- A : array-like(M, N) The matrix to be displayed. fignum : None or int or False If *None*, create a new figure window with automatic numbering. If *fignum* is an integer, draw into the figure with the given number (create it if it does not exist). If 0 or *False*, use the current axes if it exists instead of creating a new figure. .. note:: Because of how `.Axes.matshow` tries to set the figure aspect ratio to be the one of the array, strange things may happen if you reuse an existing figure. Returns ------- image : `~matplotlib.image.AxesImage` Other Parameters ---------------- **kwargs : `~matplotlib.axes.Axes.imshow` arguments iRg333333?g ףp= ?g?( tnpt asanyarrayRpRRRR tmatshowR(tAtfignumRRRR((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRM s(  cO`sYtjr4ttts4tjdq4ntdt}|j||}|S(u Make a polar plot. call signature:: polar(theta, r, **kwargs) Multiple *theta*, *r* arguments are supported, with format strings, as in :func:`~matplotlib.pyplot.plot`. uMTrying to create polar plot on an axis that does not have a polar projection.tpolar( R}tget_axesRRR RRRttplot(RRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s u#iu,c  `s| rt} n t} t|dkr<tdn|d krTt}nddlm} tj Btj d| t j |d|d|d|d |d |Wd QXfd } | |d\}}g}t|dkrH| j ddd}|j|dd }t||}||| |j|n5t|}x&td|D]}|r|dkr| j |dd|}}q| j |dd|d|}n$|dkr| j ddd}n| ||\}}|j||j||d }t||}|||| |rP|j|n|jrl|j|qd|jdqdW|s|j|ddn|dkr| jnd S(u Plot the data in a file. *cols* is a sequence of column identifiers to plot. An identifier is either an int or a string. If it is an int, it indicates the column number. If it is a string, it indicates the column header. matplotlib will make column headers lower case, replace spaces with underscores, and remove all illegal characters; so ``'Adj Close*'`` will have name ``'adj_close'``. - If len(*cols*) == 1, only that column will be plotted on the *y* axis. - If len(*cols*) > 1, the first element will be an identifier for data for the *x* axis and the remaining elements will be the column indexes for multiple subplots if *subplots* is *True* (the default), or for lines in a single subplot if *subplots* is *False*. *plotfuncs*, if not *None*, is a dictionary mapping identifier to an :class:`~matplotlib.axes.Axes` plotting function as a string. Default is 'plot', other choices are 'semilogy', 'fill', 'bar', etc. You must use the same type of identifier in the *cols* vector as you use in the *plotfuncs* dictionary, e.g., integer column numbers in both or column names in both. If *subplots* is *False*, then including any function such as 'semilogy' that changes the axis scaling will set the scaling for all columns. *comments*, *skiprows*, *checkrows*, *delimiter*, and *names* are all passed on to :func:`matplotlib.pylab.csv2rec` to load the data into a record array. If *newfig* is *True*, the plot always will be made in a new figure; if *False*, it will be made in the current figure if one exists, else in a new figure. kwargs are passed on to plotting functions. Example usage:: # plot the 2nd and 4th column against the 1st in two subplots plotfile(fname, (0,1,3)) # plot using column names; specify an alternate plot type for volume plotfile(fname, ('date', 'volume', 'adj_close'), plotfuncs={'volume': 'semilogy'}) Note: plotfile is intended as a convenience for quickly plotting data from flat files; it is not intended as an alternative interface to general plotting with pyplot or matplotlib. iu%must have at least one column of datai(tmplDeprecationuignoretcommentstskiprowst checkrowst delimitertnamesNc`s`t|tjr ||fSt|rPjjt|}||fStddS(u.return the name and column data for identifieru&identifier must be a string or integerN(RRRR tdtypeRRR(t identifierR{(tr(s0lib/python2.7/site-packages/matplotlib/pyplot.pyt getname_val s  uplotRuR(ubestudate(RR}RRRjtdicttmatplotlib.cbookRRtcatch_warningst simplefilterR!tcsv2recRRtgetattrRFtrangeRt is_last_rowRDRt autofmt_xdate(Rtcolst plotfuncsRRRRRR!tnewfigRRRRtxnametxt ynamelistR.tfuncnameRtNtiRtynamety((Rs0lib/python2.7/site-packages/matplotlib/pyplot.pytplotfile sV7          "    c`s(d}tj|dfdS(uZAutogenerated wrappers will get their docstring from a base function with an addendum.uu c`stj|S(N(Rt copy_dedent(R(taddendumtbase(s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s(RtAppender(Rtmsg((RRs0lib/python2.7/site-packages/matplotlib/pyplot.pyt_autogen_docstring suequalc K`st}|jdd}|j}|dk r\||_ddlm} tjd| nz"|j||||||} Wd||_Xt | t j rt | n| S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RtpopRjRRRRRtspyRR$tScalarMappableR( tZt precisiontmarkert markersizetaspectRRRtwasholdRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s      "  cK`swt}|j}|dk rJ||_ddlm}tjd|nz|j|d||}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tdata(RRRjRRRRtacorr(RRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR< s       c K`st} | j} |dk rJ|| _ddlm} tjd| nz:| j|d|d|d|d|d|d ||} Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tFstFctwindowtpad_totsidesR(RRRjRRRRtangle_spectrum( RRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRP s      $ c K`szt}|j}|dk rJ||_ddlm}tjd|nz|j|||||} Wd||_X| S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.(RRRjRRRRtarrow( RRtdxtdyRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRf s       c K`st}|j}|dk rJ||_ddlm}tjd|nz%|jd|d|d||}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.Rtxmintxmax(RRRjRRRRtaxhline( RRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRz s      % c K`st}|j}|dk rJ||_ddlm}tjd|nz%|j||d|d||} Wd||_X| S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RR(RRRjRRRRtaxhspan( tymintymaxRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s      % c K`st}|j}|dk rJ||_ddlm}tjd|nz%|jd|d|d||}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRR(RRRjRRRRtaxvline( RRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s      % c K`st}|j}|dk rJ||_ddlm}tjd|nz%|j||d|d||} Wd||_X| S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RR(RRRjRRRRtaxvspan( RRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s      % cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtbar(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s       cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtbarh(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s       c K`szt}|j}|dk rJ||_ddlm}tjd|nz|j||d||}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.R(RRRjRRRRt broken_barh( txrangestyrangeRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s       c 6C`s t}|j}|dk rJ||_ddlm}tjd|nz|j|d|d|d|d|d|d |d |d |d | d | d| d| d| d|d|d|d|d|d|d|d|d|d|d|d|d|}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tnotchtsymtverttwhist positionstwidthst patch_artistt bootstrapt usermedianstconf_intervalstmeanlinet showmeanstshowcapstshowboxt showflierstboxpropsRXt flierpropst medianpropst meanpropstcappropst whiskerpropst manage_xtickst autorangetzorderR(RRRjRRRRtboxplot( RRRRRRRRRRRRRRRRRRXRRRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s.      $          iudefaultc K`st}|j}| dk rJ| |_ddlm}tjd|nzU|j||d|d|d|d|d|d |d |d | d | d | |  }Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tNFFTRRtdetrendRtnoverlapRRt scale_by_freqR(RRRjRRRRtcohere(RRRRRRRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR, s      '  cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j|||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtclabel(tCSRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRE s       cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|j dk rt |n|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtcontourt_AR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR Y s        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|j dk rt |n|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtcontourfR R(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR m s        cK`st}|j}| dk rJ| |_ddlm}tjd|nz[|j||d|d|d|d|d|d |d |d | d | d | d| | }Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRRRRRRRRt return_lineR(RRRjRRRRtcsd(RRRRRRRRRRRR RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR  s      '  uc K`st}|j}|dk rJ||_ddlm}tjd|nzm|j||d|d|d|d|d|d |d |d | d | d | d| d| d|d||}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tyerrtxerrtfmttecolort elinewidthtcapsizet barsabovetlolimstuplimstxlolimstxuplimst erroreverytcapthickR(RRRjRRRRterrorbar(RRRRRRRRRRRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s       '    u horizontalusolidc K`st} | j} |dk rJ|| _ddlm} tjd| nz@| j|d|d|d|d|d|d |d || } Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.t orientationt lineoffsetst linelengthst linewidthsR}t linestylesR(RRRjRRRRt eventplot(RRRRRR}R RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR! s         cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtfill(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR" s       c K`st} | j} |dk rJ|| _ddlm} tjd| nz7| j||d|d|d|d|d||} Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.ty2twheret interpolatetstepR(RRRjRRRRt fill_between( Rty1R#R$R%R&RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR' s        c K`st} | j} |dk rJ|| _ddlm} tjd| nz7| j||d|d|d|d|d||} Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tx2R$R&R%R(RRRjRRRRt fill_betweenx( Rtx1R)R$R&R%RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR* s      ! ulinearufacec&K`st}|j}|dk rJ||_ddlm}tjd|nz|j||d|d|d|d|d|d |d |d | d | d | d| d| d|d|d|d|d||}Wd||_Xt||S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.tCtgridsizetbinsRORQtextentRtnormRRtalphaRt edgecolorstreduce_C_functiontmincntt marginalsR( RRRjRRRRthexbinR(RRR,R-R.RORQR/RR0RRR1RR2R3R4R5RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR6 s"      '    ubarumiduverticalc#K`st}|j}|dk rJ||_ddlm}tjd|nzv|j|d|d|d|d|d|d |d |d |d | d | d| d| d| d|d|d||}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.R.Rtdensitytweightst cumulativetbottomthisttypetalignRtrwidthtlogtcolortlabeltstackedtnormedR(RRRjRRRRthist(RR.RR7R8R9R:R;R<RR=R>R?R@RARBRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRC- s       i c K`st} | j} |dk rJ|| _ddlm} tjd| nzC| j||d|d|d|d|d|d |d | | }Wd| | _Xt|d |S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.R.RRBR8tcmintcmaxRi( RRRjRRRRthist2dR(RRR.RRBR8RDRERRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRFH s      !  ukc K`st} | j} |dk rJ|| _ddlm} tjd| nz4| j|||d|d|d|d||} Wd| | _X| S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.R}R R@R(RRRjRRRRthlines( RRRR}R R@RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRG_ s       g@c#K`st}|j}|dk rJ||_ddlm}tjd|nzv|j|d|d|d|d|d|d |d |d |d | d | d| d| d| d|d|d||}Wd||_Xt||S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RR0Rt interpolationR1RRtoriginR/R't filternormt filterradtimlimtresampleturlR( RRRjRRRRtimshowR(tXRR0RRHR1RRRIR/R'RJRKRLRMRNRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyROu s"          cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtloglog(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRQ s       c K`st} | j} |dk rJ|| _ddlm} tjd| nz@| j|d|d|d|d|d|d |d || } Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRRRRRR(RRRjRRRRtmagnitude_spectrum(RRRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRR s       cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_Xt ||S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtpcolorR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRS s        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_Xt ||S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRt pcolormeshR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRT s        c K`st} | j} |dk rJ|| _ddlm} tjd| nz:| j|d|d|d|d|d|d ||} Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRRRRR(RRRjRRRRtphase_spectrum( RRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRU s      $ g333333?g?c"C`st}|j}|dk rJ||_ddlm}tjd|nzs|j|d|d|d|d|d|d |d |d |d | d | d| d| d| d|d|d|}Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.texplodeRXR}tautopctt pctdistancetshadowt labeldistancet startangletradiust counterclockt wedgepropst textpropstcentertframet rotatelabelsR(RRRjRRRRtpie(RRVRXR}RWRXRYRZR[R\R]R^R_R`RaRbRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRc s          cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR s       uoc K`st} | j} |dk rJ|| _ddlm} tjd| nz7| j||d|d|d|d|d||} Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RttztxdatetydateR(RRRjRRRRt plot_date( RRRRdReRfRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRg* s      ' c K`st}|j}| dk rJ| |_ddlm}tjd|nzX|j|d|d|d|d|d|d |d |d |d | d | d| |  }Wd||_X|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRRRRRRRRR R(RRRjRRRRtpsd(RRRRRRRRRRR RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRh@ s      $  cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_Xt ||S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtquiverR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRiY s        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRt quiverkey(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRjm s       cK`st}|j}| dk rJ| |_ddlm}tjd|nza|j||d|d|d|d|d|d |d |d | d | d | d| d|| }Wd||_Xt||S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RtcRRR0RRR1RtvertsR2R( RRRjRRRRtscatterR(RRRRkRRR0RRR1RRlR2RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRm s      -   cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtsemilogx(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRn s       cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtsemilogy(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRo s       c#K`st}|j}|dk rJ||_ddlm}tjd|nzv|j|d|d|d|d|d|d |d |d |d | d | d| d| d| d|d|d||}Wd||_Xt|d|S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRRRRRRtxextentRRRtmodeRRRRi( RRRjRRRRtspecgramR(RRRRRRRRRpRRRRqRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRr s       $ cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j|||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRt stackplot(RRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs s       cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtstem(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRt s       c O`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRR&( RRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR&s       u-|>g?ubothc!C`st}|j}|dk rJ||_ddlm}tjd|nzp|j||||d|d|d|d|d|d | d | d | d | d | d|d|d|d|}Wd||_Xt|j |S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.R7RR?RR0t arrowsizet arrowstylet minlengtht transformRt start_pointst maxlengthtintegration_directionR( RRRjRRRRt streamplotRRf(RRtuRCR7RR?RR0RuRvRwRxRRyRzR{RRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR|s&      !      cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|j dk rt |n|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRt tricontourR R(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR~7s        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|j dk rt |n|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRt tricontourfR R(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRKs        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_Xt ||S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRt tripcolorR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR_s        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRttriplot(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRss       g?c C`st} | j} | dk rJ| | _ddlm} tjd| nzI| j|d|d|d|d|d|d |d |d |d |  }Wd| | _X|S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RRRRt showextremat showmedianstpointst bw_methodR(RRRjRRRRt violinplot(tdatasetRRRRRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs         c K`st} | j} |dk rJ|| _ddlm} tjd| nz4| j|||d|d|d|d||} Wd| | _X| S(Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.R}R R@R(RRRjRRRRtvlines( RRRR}R R@RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs       c K`st} | j} |dk rJ|| _ddlm} tjd| nz7| j||d|d|d|d|d||} Wd| | _X| S( Ni(Ru4The 'hold' keyword argument is deprecated since 2.0.RBRt usevlinestmaxlagsR(RRRjRRRRtxcorr( RRRBRRRRRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs        cO`st}|j}|jdd}|dk r\||_ddlm}tjd|nz|j||}Wd||_X|S(Nuholdi(Ru4The 'hold' keyword argument is deprecated since 2.0.( RRRRjRRRRtbarbs(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs       cC`stj}|S(N(Rtcla(R6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRsumajorcK`s(tjd|d|d||}|S(NRtwhichRB(Rtgrid(RRRBRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs$cO`stj||}|S(N(RR(RRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscK`stj|}|S(N(Rttable(RR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRsc K`s+tj|||d|d||}|S(Ntfontdicttwithdash(RR(RRRRRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs'cO`stj||}|S(N(Rtannotate(RRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscK`stj|}|S(N(Rtticklabel_format(RR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscK`s"tjd|d||}|S(NRBttight(Rtlocator_params(RBRRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyR scK`stjd||}|S(NRB(Rt tick_params(RBRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscO`stj||}|S(N(Rtmargins(RRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRscC`s%tjd|d|d|}|S(NtenableRBR(Rt autoscale(RRBRR6((s0lib/python2.7/site-packages/matplotlib/pyplot.pyRs!cC`stddS(u Set the colormap to "autumn". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uautumnN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytautumn#scC`stddS(u Set the colormap to "bone". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uboneN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytbone.scC`stddS(u Set the colormap to "cool". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. ucoolN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytcool9scC`stddS(u Set the colormap to "copper". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. ucopperN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytcopperDscC`stddS(u Set the colormap to "flag". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uflagN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytflagOscC`stddS(u Set the colormap to "gray". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. ugrayN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytgrayZscC`stddS(u Set the colormap to "hot". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uhotN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pythotescC`stddS(u Set the colormap to "hsv". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uhsvN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pythsvpscC`stddS(u Set the colormap to "jet". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. ujetN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytjet{scC`stddS(u Set the colormap to "pink". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. upinkN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytpinkscC`stddS(u Set the colormap to "prism". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uprismN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytprismscC`stddS(u Set the colormap to "spring". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uspringN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytspringscC`stddS(u Set the colormap to "summer". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. usummerN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytsummerscC`stddS(u Set the colormap to "winter". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uwinterN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytwinterscC`stddS(u Set the colormap to "magma". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. umagmaN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytmagmascC`stddS(u Set the colormap to "inferno". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uinfernoN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytinfernoscC`stddS(u Set the colormap to "plasma". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uplasmaN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytplasmascC`stddS(u Set the colormap to "viridis". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. uviridisN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytviridisscC`stddS(u Set the colormap to "nipy_spectral". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. u nipy_spectralN(R(((s0lib/python2.7/site-packages/matplotlib/pyplot.pyt nipy_spectralscC`s4ddlm}|dddddtddS( u Set the colormap to "spectral". This changes the default colormap as well as the colormap of the current image if there is one. See ``help(colormaps)`` for more information. i(R u2.0R{uspectraltobj_typeucolormapN(RR R(R ((s0lib/python2.7/site-packages/matplotlib/pyplot.pytspectrals (i(ii(Rt __future__RRRRRRJRRRRctmatplotlib.colorbarRRRRRR R R R R Rtmatplotlib.backend_basesRtmatplotlib.figureRRtmatplotlib.gridspecRtmatplotlib.imageRRRRRRRRtmatplotlib.rcsetupRRHtmatplotlib.artistRRRRRtmatplotlib.axesRRtmatplotlib.projectionsR R!tmatplotlib.scaleR"R#R$t matplotlib.cmR%R&tnumpyRtmatplotlib.colorsR'tmatplotlib.linesR(tmatplotlib.textR)R*tmatplotlib.patchesR+R,R-R.tmatplotlib.widgetsR/R0R1R2ttickerR3R4R5R6R7R8R9R:R;R<R=R>R?R@RARBRCRDRERRFR^RRRRRjRkRpRqRxR{RReRR~RtRRRRRRRRRRtcopyRRRR}RRRRRRRRRRRRRRRRRRRt _hold_msgRRR RRR RR R!R,R-R/R0R7R;R?RARBRERGRJRMtdedent_interpdRORQRZR_R`RaRgRkRlRqR}RoRRt colorbar_docRRRRRRRRRRRRRRRRRRRt detrend_nonetwindow_hanningRR R R RR!R"R'R*R6tmeanRCRFRGRORQRRRSRTRURcRRgRhRiRjRmRnRoRrRsRtR&R|R~RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR(((s0lib/python2.7/site-packages/matplotlib/pyplot.pytsp"       ""| % 6         <      ,    +! J   _y=     / E   $ % O R  , ?  2 5   6  x